scholarly journals Research on the Evaluation Model of a Smart Grid Development Level Based on Differentiation of Development Demand

2018 ◽  
Vol 10 (11) ◽  
pp. 4047 ◽  
Author(s):  
Jinchao Li ◽  
Tianzhi Li ◽  
Liu Han
Keyword(s):  
Smart Grid ◽  
Smart Grids ◽  
Evaluation Model ◽  
Objective Evaluation ◽  
Entropy Method ◽  
Base Layer ◽  
Regional Differentiation ◽  
Base Level ◽  
Development Level ◽  
The Impact

In order to eliminate the impact of inter-regional differentiation of development demand on the objective evaluation of the development level of smart grid, this paper establishes the evaluation model of weight modification, transmission mechanism and combination of subjective and objective weights. Firstly, the Analytic Hierarchy Process method is used to calculate the weights of evaluation indices of effect layer and then the indices of development demand are used to modify the weights of them. The association analysis and the correlation coefficient are used to establish the weights conduction coefficient between the effect level and the base level. Then the subjective weights of the indices of the base layer are calculated. The objective weights of the indices of the base layer are obtained by using the entropy method. The subjective weights of the base layer and the objective weights obtained by the entropy method are averagely calculated, and the comprehensive weights of the evaluation indices of the base layer are obtained. Then each index is scored according to the weights and index values. Finally, the model is used to quantitatively inspect the level of development of smart grid in specific regions and make a horizontal comparison, which provides a useful reference for the development of smart grids. The relevant examples verify the correctness and validity of the model.

scholarly journals Multi-Objective Evaluation of Airborne Self-Separation Procedure in Flow Corridors Based on TOPSIS and Entropy

2019 ◽  
Vol 12 (1) ◽  
pp. 322 ◽  
Author(s):  
Bojia Ye ◽  
Zhao Yang ◽  
Lili Wan ◽  
Yunlong Dong
Keyword(s):  
Performance Metrics ◽  
Objective Evaluation ◽  
Entropy Method ◽  
Multiple Objectives ◽  
Separation Procedure ◽  
Traffic Operations ◽  
Agent Based ◽  
Operational Conditions ◽  
Simulation Based ◽  
The Impact

This paper proposes a simulation-based framework for assessing airborne self-separation procedures in flow corridors with consideration of different performance metrics, including air traffic operations, corridor capacity, safety, and environmental impacts. Firstly, the airborne self-separation concept in flow corridors is introduced, followed by an agent-based flow corridor simulation model. Then, data were collected to initialize a parallel-lane flow corridor model connecting A461 upper air route from Beijing to Guangzhou in China which can also simulate aircraft self-separating in the flow corridor. The total control delay, flow corridor throughput, breakout rate, and the CO2 emissions of traffic flow were considered as the impact measurements, and the TOPSIS and entropy method was used to rank the performances of different self-separation procedures. We found that combining multiple objectives into one, the optimum scheme can be obtained to guide the design of self-separation procedures for flow corridors. The research results can be used by airspace managers to dynamically develop appropriate operational procedures and rules for flow corridors given different operational conditions and constraints. Also, the framework proposed in the research may be used to evaluate the design of airspace structure with consideration of multiple objectives.

scholarly journals GEOSPATIAL, FINANCIAL, HUMAN, AND TEMPORAL FACTORS IN THE STUDY OF THE DEVELOPMENT OF RENEWABLE ENERGY AND SMART GRIDS

2020 ◽  
pp. 84-96
Author(s):  
Y. Matvieieva ◽  
I. Myroshnychenko ◽  
S. Kolosok ◽  
R. Kotyuk
Keyword(s):  
Renewable Energy ◽  
Information Systems ◽  
Smart Grid ◽  
Smart Grids ◽  
Successful Operation ◽  
Scientific Publications ◽  
Balanced Development ◽  
The Third ◽  
Research Areas ◽  
The Impact

Balanced development of smart grids is becoming an increasingly important issue for the energy sector's successful operation. This article provides a bibliographic review of publications in the study of renewable energy and smart grids' deployment parameters. A sample of works for 2009-2020 from the Scopus® database, which contains bibliographic information about scientific publications in peer-reviewed journals, books, and conferences, was selected for analysis. The authors identified three clusters of research areas using VOSviewer (version 1.6.15) in the context of the impact of geospatial parameters on smart grids' development. The first cluster consists of the financial, human, and temporal components of the geospatial factor of smart grid deployment. The authors found the largest number of links in the first cluster in terms of "costs" (a total of 29 links with an average impact of 9). The second cluster coincides with concepts related to geospatial information systems (GIS), digital storage, information systems, and cartographic information use. Research on renewable energy also belongs to the second cluster of publications. And the third cluster highlights all the concepts of smart grids by their technical types and in the context of optimization. The third cluster focuses on the ideas with the strongest link power. The results of the analysis of the Scopus® database allowed to determine the level and dynamics of scientific interest in the geospatial factors of the development of smart grids over the past 10 years. It is established that research in the field of geospatial factors of smart grid development is carried out by different countries, but the most active analysis of the impact of geospatial parameters on the development of smart grids in the following countries: USA, Canada and China. Based on the use of the Scopus® database, the article identified institutions and organizations that fund the study of geospatial factors and smart grids and made a significant contribution to the development of this topic.

The Impact and Application of Smart Grid on Global Energy Delivery

2020 ◽  
Vol 3 (3) ◽  
pp. 78-91
Author(s):  
Mohamed Koroma ◽  
Ibrahim Abdulai Sawaneh
Keyword(s):  
Smart Grid ◽  
Communication Networks ◽  
Smart Grids ◽  
Power Delivery ◽  
Energy Resources ◽  
Energy Sources ◽  
Environment Friendly ◽  
Global Energy ◽  
Energy Delivery ◽  
The Impact

This paper presents a detailed survey of global energy delivery and smart grid approaches. Particularly in the sense that shows the impacts on the production of energy resources globally. How can energy losses be reduced, primarily by implementing smart grid approaches? Power transfers and reduction of energy sources can be made by smart grids with information technology (I.T) such as sensors digital meters and communication networks.  Energy from photovoltaic and wind power are some of the energy delivery systems that have gained attention since they are cheap and environment-friendly and do not emit greenhouse gas. Presently available grid is insufficient to serve future systems. For this reason, an intelligent grid system is required to support future needs for society. This paper expounds on the impacts of the existing power delivery system and suggests a smart grid for global energy delivery on a better management system.

Comprehensive Evaluation of Regional Grid Development Level of China under the Smart Grid Construction

2013 ◽  
Vol 300-301 ◽  
pp. 640-644 ◽  
Author(s):  
Dong Xiao Niu ◽  
Jin Peng Liu ◽  
Tong Liu ◽  
Hao Chi Guo
Keyword(s):  
Smart Grid ◽  
Theoretical Basis ◽  
Evaluation System ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Electricity Grid ◽  
Construction Engineering ◽  
Development Level ◽  
Grid Construction ◽  
Comprehensive Evaluation System

The construction engineering of smart grid is the key plan for the electricity grid development of China. To build a strong smart grid has been the main goal for the development of regional grid, thus, it is of great significance to study on the smartness level of regional grid. This paper establishes a comprehensive evaluation system for the regional grid development level; analyzes from aspects of safety, economy, quality, and efficiency. A hierarchical optimized combination evaluation model is proposed, and its progressiveness and applicability are verified. The study provides theoretical basis and practical evidence for judging the development level of regional smart grid construction of China from an overall and multi-angle perspective.

Safety Performance Evaluation of Green Building Based on Structural Equation Modeling

2013 ◽  
Vol 340 ◽  
pp. 150-156
Author(s):  
Liu Xing Hu
Keyword(s):  
Performance Evaluation ◽  
Structural Equation ◽  
Evaluation Model ◽  
Green Building ◽  
Objective Evaluation ◽  
Safety Performance ◽  
Equation Modeling ◽  
Construction Enterprises ◽  
Production Safety ◽  
The Impact

In order to give a comprehensive and objective evaluation of the work of construction enterprises and production safety, this article is based on the importance of production safety and service quality to explore the impact of construction factor of safety in production of construction enterprises. It uses the KPI theory to construct the four dimensions of management systems, construction equipment, and environmental conditions and other key performance indicators, and studies the structural equation theory to construct the SEM evaluation model, summarizing that the evaluation of the general program with examples from a quantitative point of view of safety performance evaluation. The results showed that the index system was built and SEM performance evaluation model can accurately evaluate the safety performance of the enterprise.

scholarly journals Regulation Effect of Smart Grid on Green Transformation of Electric Power Enterprises: Based on the Investigation of “Leader” Trap

2022 ◽  
Vol 9 ◽  
Author(s):  
Chengyu Li ◽  
Yanbing Zhang ◽  
Saurabh Pratap ◽  
Li Zhou ◽  
Baoquan Liu ◽  
...  
Keyword(s):  
Power Generation ◽  
Property Rights ◽  
Smart Grid ◽  
Total Factor Productivity ◽  
Environmental Performance ◽  
Smart Grids ◽  
Operating Performance ◽  
Productivity Index ◽  
Factor Productivity ◽  
The Impact

The 2060 carbon neutral target reflects the long-term equilibrium and stability of production activities and the natural environment. As an important part of Chinese energy structure, the operation and transformation of power enterprises will face higher requirements. Although the rapid development of smart grids provides necessary technical support for power enterprises to build a modern energy system with green power as the core, whether power enterprises can use smart grids to improve their operating performance and environmental performance has yet to be discussed. The differences caused by the heterogeneity of property rights will also have an impact on the green transformation and development of enterprises. This paper selects 25 Chinese power enterprises as the research objects and uses the 2011–2019 enterprise panel data and the data envelopment analysis model to evaluate the operating performance and environmental performance of power enterprises. The results show that the overall fluctuation trend of the total factor productivity index and green total factor productivity index of power enterprises are W-shaped, and technological progress is the main driving force for the improvement of power operating performance and environmental performance; Compared with enterprises with a single power generation method, enterprises with diversified power generation methods performed better in their overall total factor productivity index. After that, text mining and machine learning methods are used to classify the text of the enterprise’s annual report to determine whether the enterprise applies smart grid technology for production and operation activities. Finally, using feasible generalized least squares method (FLGS) and dynamic panel system generalized moment estimation (SYS-GMM) to analyze the impact of smart grid on the operating performance and environmental performance of power enterprises, and the nature of corporate property rights in this process. It is found that smart grids can improve the operating performance and environmental performance of power enterprises; compared with state-owned enterprises, non-state-owned enterprises can achieve better performance in the application of smart grids to improve operating performance and environmental performance. Finally, this study provides corresponding policy recommendations for power enterprises to achieve performance improvement and green transformation development.

scholarly journals Comprehensive Evaluation of Smart Grid Development Level Under Electricity Market Layout

2018 ◽  
Vol 53 ◽  
pp. 02013 ◽  
Author(s):  
Zhe Chen ◽  
Haiyun An ◽  
Ze Sun ◽  
Bingcheng Cen ◽  
Si Li
Keyword(s):  
Smart Grid ◽  
Power Systems ◽  
Electricity Market ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Distribution Network ◽  
Distribution Networks ◽  
Evaluation Index System ◽  
System Reform ◽  
Development Level

The smart grid is the latest trend and complex scientific issue in the development of power systems in the world today. With the new round of power system reform and the deregulation of the power market, comprehensive and scientific evaluation of the development level of the smart grid plays an important role in achieving the overall goal of smart grid construction. This paper constructed a comprehensive evaluation index system from the aspects of safety and reliability, economy, intelligence level and sustainability of smart distribution network. Then the comprehensive evaluation model of AHPTOPSIS intelligent distribution network was established. Finally, an empirical study on the development level of smart distribution networks of four power companies in a province was carried out, and corresponding conclusions were drawn.

scholarly journals The Measurement of Green Finance Development Index and Its Poverty Reduction Effect: Dynamic Panel Analysis Based on Improved Entropy Method

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Lili Jiang ◽  
Hui Wang ◽  
Aihua Tong ◽  
Zhifei Hu ◽  
Hongjun Duan ◽  
...  
Keyword(s):  
Economic Development ◽  
Poverty Alleviation ◽  
Entropy Method ◽  
Estimation Methods ◽  
Dynamic Panel ◽  
Development Index ◽  
Development Level ◽  
Green Finance ◽  
Finance Development ◽  
The Impact

Finance contributes to poverty alleviation through economic growth, and the development of green finance is related to the sustainable development of the world economy and environment. Green finance not only helps promote sustainable economic development but also helps reduce poverty. Based on the analysis of related theories about green finance and poverty alleviation, this paper selects 18 indicators from three dimensions of economic development, financial development, and social environmental development and uses the improved entropy method to measure the green finance development index of China’s 25 provinces and municipalities from 2004 to 2017. The results show that the development level of green finance in China’s 25 provinces and municipalities is quite different. On the basis of the above analysis, make an empirical analysis of the impact of the green finance development index on poverty alleviation using multiple regression analysis and static panel and dynamic panel estimation methods. The research results show that there is a significant positive correlation between green finance and poverty alleviation; the higher the level of green finance development, the more conducive the poverty alleviation. So, this paper suggests that poverty can be better alleviated by improving the level of green finance development, financial asset level, and economic development level.

scholarly journals Impact of Logistics Development Level on International Trade in China: A Provincial Analysis

2021 ◽  
Vol 13 (4) ◽  
pp. 2107
Author(s):  
Wei Ma ◽  
Xiaoshu Cao ◽  
Jiyuan Li
Keyword(s):  
International Trade ◽  
Bilateral Trade ◽  
Entropy Method ◽  
Evaluation Index System ◽  
Transport Infrastructure ◽  
Eastern Region ◽  
The Sustainable Development ◽  
Factors Affecting ◽  
Development Level ◽  
The Impact

Transport infrastructure and logistics are gradually becoming important factors affecting global trade. At the same time, with the international logistics corridor along the Belt and Road Initiative (BRI) going deep into construction, China is emerging as a unique case to study how logistics affects international trade. Therefore, based on the evaluation index system of logistics development level of China’s provinces by using the entropy method, this paper systematically analyzed the impact of logistics development level on bilateral trade from 31 China’s provinces to 65 countries along the BRI by using the improved gravity model with data for the period 2008–2018. Empirical results show: (1) Logistics development level had significantly promoted international trade development. (2) Compared with partner countries, China’s provincial logistics development level presented a greater impact on bilateral trade. (3) Influence of logistics development level was manifested in different periods, different international and regions, especially, logistics development level coefficient of the western region was negative, while that in eastern region was positive. In view of the above research results, we argue that strengthening domestic and international logistics construction is not only conductive to the sustainable development of China’s future trade, but also help to realize the coordinated development between China’s eastern, central and western regions.

scholarly journals Artificial Intelligence Assists the Construction of Quantitative Model for the High-Quality Development of Modern Enterprises

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Min Li ◽  
Zamira Madina
Keyword(s):  
Artificial Intelligence ◽  
Economic Development ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Eastern Region ◽  
Quality Development ◽  
High Quality ◽  
Enterprise Value ◽  
Development Level ◽  
The Impact

Artificial intelligence companies are different from traditional labor-intensive and capital-intensive companies in that their core competitiveness lies in technology, knowledge, and manpower. Enterprises show the characteristics of a high proportion of intangible assets, strong profitability, and rapid growth. At the same time, there are also the characteristics of high risk and high uncertainty. In addition to the existing value brought by existing profitability, corporate value should also consider the potential value brought by potential profitability. Enterprise value is affected by many factors such as profitability, growth ability, innovation ability, and external environment. Traditional valuation techniques are often utilised to value artificial intelligence businesses in the present market. Traditional valuation methods ignore the dynamics and uncertainties of artificial intelligence enterprise value evaluation, make static and single predictions of future earnings, ignore the value of enterprise management flexibility, and are unable to assess the intrinsic value of artificial intelligence businesses. Based on the projection pursuit method, this paper constructs a modern high-quality development enterprise high-quality development evaluation model, uses real-code accelerated genetic algorithm to optimize the projection objective function, and calculates the best projection direction vector and projection value. The collected sample data can be imported into the evaluation model to calculate the comprehensive evaluation value of the high-quality development of modern high-quality development enterprises and the weights of various indicators included. By comparing the size of the comprehensive evaluation value, each sample can be calculated Evaluation of the level of high-quality development. The results show that the high-quality development level of China’s overall economy is on the rise, but the level of development is still low, and there is a large gap between the development level of the eastern region and the central and western regions. Using the systematic generalized moment estimation method, empirically, we analyse the impact of artificial intelligence on the high-quality economic development. The results show that artificial intelligence at the national level and in the central and western regions will significantly promote high-quality economic development, while artificial intelligence in the eastern region has a significant inhibitory effect on high-quality economic development.

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